西南石油大学学报(自然科学版) ›› 2012, Vol. 34 ›› Issue (5): 133-136.

• 石油与天然气工程 • 上一篇    下一篇

不同完井方式下水平井不稳定产能研究

赵海洋1,邬蓝柯西2,刘青山1,孙同成1   

  1. 1. 中国石化西北油田分公司采油气工程管理处,新疆乌鲁木齐8300112. 中国石油大学(北京)地球物理与信息工程学院,北京昌平102249
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2012-10-01 发布日期:2012-10-01

A Study on Different Completion Methods of Horizontal Well Productivity

Zhao Haiyang1, Wu Lankexi2, Liu Qingshan1, Sun Tongcheng1   

  1. 1. The Oil Gas Project Management Office of Sinopec Northwest Oilfield Branch Company,Urumqi,Xinjiang 830011,China2. College of Geophysics and Information Engineering,China University of Petroleum,Changping,Beijing 102249,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2012-10-01 Published:2012-10-01

摘要: 随着钻完井技术的发展,采用水平井开发底水油藏成为提高产量、降低成本的有效途径,但是在生产过程中
也暴露出日益严重的问题,主要为含水上升快、无水采收期短、完井方式不适应开发的需要和产能预测不准确等。在
总结水平井产能预测模型的基础上,采用井筒与油藏耦合作用下的水平井不稳定产能预测数学模型,借鉴Cinco H等
人求解有限导流垂直裂缝压裂井压力动态的计算方法,建立产能预测计算模型。该模型考虑底水驱油藏水平井情况,
通过对不同完井方式下的表皮系数分解计算,开展了不同完井方式下的产能预测研究,这些研究结果对水平井完井方
式优选和水平井油藏工程研究具有重要的指导意义。

关键词: 水平井, 产能预测, 不稳态, 耦合模型, 表皮系数

Abstract: With the development of drilling and completion technology,horizontal wells are more widely used in bottom water
reservoir as an effective way to increase productivity and reduce costs,while problems arise in the production process,which
mainly are shorter anhydrous harvest period led by water coning,and faster cut rising. Besides,completion method doesn’t
meet the requirements of the development and capacity prediction is not accurate,either. Based on the summarization of stable
horizontal well productivity prediction models,this paper uses the horizontal well productivity prediction mathematical model
under the action of the wellbore and reservoir coupling,and solves finite conductivity vertical fracturing wells pressure with
Cinco H’s dynamic calculation method,then the model of production forecast is established. The model takes the bottom water
drive reservoir horizontal well into account,and carries out the productivity prediction in different completion mode after the
decomposition calculation of skin factor in different completion mode. The results of these studies have important guiding
significance for the optimization of horizontal well completion as well as the study of horizontal well reservoir engineering.

Key words: horizontal well, productivity prediction, transient state, coupling model, skin factor